Optimization Scientist – Production MIP Specialist

TechDigital Group

Dallas (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

TechDigital Group is seeking an experienced optimization scientist to advance a production-grade MIP model for a task assignment system. You will translate complex business rules into linear constraints, drive model execution via a Java API, and tune solver performance for robust, scalable results.

The role also includes data analysis in Azure ADLS and building a Streamlit dashboard to visualize optimizer outcomes.

Qualifications

  • MS/PhD in OR/IE/Applied Math/CS-optimization or equivalent.
  • Experience formulating real-world rules as linear constraints and objectives.
  • Hands-on experience with commercial solvers and tuning Parameters.

Responsibilities

  • Work on the mixed-integer programming model for a task assignment system.
  • Formulate and maintain the MIP.
  • Translate business rules into model constraints and objectives.
  • Drive the model using the FICO Xpress Java API and inspect .lp files and solver logs.
  • Tune solver performance: mip-gap, threads, seeds, determinism.
  • Keep the model solver-agnostic behind an abstraction layer.
  • Validate and benchmark solutions.
  • Analyze Azure ADLS data to debug and surface issues in data and constraints.
  • Build and maintain a Streamlit dashboard to visualize optimizer results.
  • Collaborate with a Java engineer to productionize the model and with planners/ SMEs.

Skills

MIP modeling
Solver tuning
Java programming
Python programming
Streamlit dashboard
AI coding agents

Education

MS/PhD in OR/IE/Applied Math/CS-optimization

Tools

FICO Xpress
Gurobi
CPLEX
OR-Tools
Azure ADLS
Streamlit

Job description

TechDigital Group is seeking an experienced optimization scientist to advance a production-grade MIP model for a task assignment system. You will translate complex business rules into linear constraints, drive model execution via a Java API, and tune solver performance for robust, scalable results.

The role also includes data analysis in Azure ADLS and building a Streamlit dashboard to visualize optimizer outcomes.

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